Data Engineer (Snowflake) – Remote

About the role

As a Data Engineer specializing in Snowflake, you will build and maintain scalable ELT pipelines and data models that turn raw data into actionable insights for high‑performance analytics.

Key responsibilities

• Design, implement, and optimize robust ELT workflows using Snowflake and dbt.
• Develop and maintain modular data models applying software‑engineering best practices.
• Orchestrate pipeline dependencies and schedules with Apache Airflow.
• Write and tune high‑performance SQL queries to leverage Snowflake’s architecture.
• Collaborate with stakeholders to define data requirements, schemas, and quality standards.
• Monitor pipeline health, identify bottlenecks, and ensure continuous data delivery.

Required profile

• 4+ years of experience in data engineering with modern data‑stack technologies.
• Proven expertise building and optimizing ELT pipelines in Snowflake.
• Proficiency with dbt for data transformation.
• Hands‑on experience with Apache Airflow for workflow orchestration.
• Advanced skill in writing and optimizing complex SQL queries.
• Advanced proficiency in English.

Required skills

• Snowflake
• dbt
• Apache Airflow
• SQL
• ELT pipeline development
• Data modeling
• Version control (e.g., Git)
• Automated testing

What we offer

• 100% remote work from anywhere.
• Competitive compensation in USD or local currency.
• Provided hardware and software setup for home office.
• Flexible hours – create your own schedule.
• Paid parental leave, vacations, and national holidays.
• Innovative, multicultural environment with top‑tier talent.
• Mentorship, promotion pathways, and skill‑development opportunities.